Senior Staff Software Engineer, AI Runtime

<p>P-1096</p> <p>At Databricks, we run the world's largest AI platform. We believe the next breakthroughs will come from models trained on domain-specific enterprise data, not from bigger general-purpose models alone.</p> <p>&nbsp;</p> <p>That's why we built <a href="https://www.databricks.com/product/ai-runtime">AI Runtime</a>, a serverless product that makes GPU training of any size feel simple, so companies can train their own models the way frontier labs do. Customers across industries train on it, right next to the enterprise data already in Databricks. Among them are Rivian in automotive, Robinhood in fintech, and Merck, which builds foundation models for drug discovery. Our own AI researchers use it to post-train models with hundreds of billions to nearly a trillion parameters.</p> <p>It takes a lot of engineering to make that work, and we've written about it on our blog: how we <a href="https://www.databricks.com/blog/how-we-keep-gpus-reliable-across-databricks-ai">keep GPUs reliable</a>, <a href="https://www.databricks.com/blog/fast-fault-tolerant-pytorch-training-ai-runtime">make training fault-tolerant</a>, and <a href="https://www.databricks.com/blog/reducing-qwen-training-time-6x-ai-runtime">speed up fine-tuning</a> with fused kernels and smart sequence packing. AI agents now launch experiments too, and on our research team they've already <a href="https://www.databricks.com/blog/how-our-ai-research-team-uses-ai-runtime">increased training jobs 8x</a>.</p> <p>As a Senior Staff Software Engineer, you'll work on the systems behind all of this, solving the hardest technical problems and shaping where AI Runtime goes next.</p> <p><strong>The impact you will have:</strong></p> <ul> <li>Drive AI Runtime's architecture and lead Databricks' long-term technical direction in AI training infrastructure.</li> <li>Define the reliability and observability strategy for a fleet that keeps growing in scale and complexity.</li> <li>Shape AI Runtime's developer experience